pkgx VS pipx

Compare pkgx vs pipx and see what are their differences.

pipx

Install and Run Python Applications in Isolated Environments (by pipxproject)
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pkgx pipx
47 38
8,716 8,913
0.7% 3.7%
9.0 9.3
7 days ago 4 days ago
TypeScript Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

pkgx

Posts with mentions or reviews of pkgx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-27.

pipx

Posts with mentions or reviews of pipx. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-28.

What are some alternatives?

When comparing pkgx and pipx you can also consider the following projects:

nix - Nix, the purely functional package manager

Poetry - Python packaging and dependency management made easy

litellm - Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

opstrat - Option visualization python package

Llama-2-Onnx

Lean and Mean Docker containers - Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)

macports-base - The MacPorts command-line client

dust - A more intuitive version of du in rust

symmetric-ds - SymmetricDS is database replication and file synchronization software that is platform independent, web enabled, and database agnostic. It is designed to make bi-directional data replication fast, easy, and resilient. It scales to a large number of nodes and works in near real-time across WAN and LAN networks.

private-pypi - private pypi server

white-paper - how will the protocol work?

Pyjion